Cloud-native platforms jobs

Sr. Manager, Software Engineering (DevOps / Platform Engineering)

Visa · Posted Sep 8, 2026

Open

Foster City, California, United States
On-site
Full-time · Manager
$181K–$289K per year

Sr. Manager, Software Engineering (DevOps / Platform Engineering)

Visa · Posted Sep 8, 2026

Open

Foster City, California, United States
On-site
Full-time · Manager
$181K–$289K per year

VP, Tech Lead, Corporate Internet Banking Platform (CIBP), Institutional Banking Group Technology, Group Technology

DBS Bank · Posted Oct 29, 2026

Open

Singapore, Singapore
Full-time · Vp
15+ years

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Lead technology vision, architecture, and engineering excellence for the Corporate Internet Banking Platform, driving adoption of modern cloud-native practices and AI-assisted tools.

Responsibilities

Drive technology vision and architecture for the Corporate Internet Banking Platform
Provide technical leadership across domains such as Payments, Accounts, Entitlements, Notifications, Approvals, Dashboard and Shared Services
Lead architecture and design reviews, code quality governance, and secure, scalable, resilient solutions
Translate business requirements into scalable technology solutions and implementation roadmaps
Mentor domain leads, architects, engineering managers and development teams

Requirements

Bachelor’s degree in computer science, Computer Engineering, Information Technology or equivalent discipline

Skills

Java Spring Boot Spring Cloud REST APIs Kafka Event Streaming Platforms

VP, Business Solutions Engineering

MGIC · Posted Sep 18, 2026

Open

Wisconsin, United States
Full-time · Vp
$209K–$376K per year
15+ years

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Lead MGIC's software engineering, and digital delivery functions to ensure technology investments deliver measurable business outcomes, accelerate innovation, improve customer and employee experiences, and support long-term enterprise growth. Serve as a key member of the Information Technology leadership team and a strategic partner to executive leadership, helping shape enterprise technology strategy.

Compensation

Pay Range: $209,130.00 - $376,440.00 This range aligns with current market data and reflects our commitment to competitive and equitable compensation. Salary offers are based on factors such as experience, skills, education, and training. The range may vary in certain locations to reflect local market conditions. It is not typical to initiate pay at the top of the range to account for internal equity and allow for future and continued salary growth

Responsibilities

Partner with the CIO and business executives to define and execute technology strategies that directly support MGIC's business objectives, growth initiatives, operational priorities, and customer experience goals.
Translate business strategy into technology roadmaps, investment priorities, and product portfolios that deliver measurable business value.
Act as a trusted advisor to executive leadership regarding technology opportunities, risks, modernization strategies, architecture decisions, and emerging technologies.
Lead enterprise-wide digital transformation initiatives and modernization efforts across customer-facing and internal platforms.
Lead all software engineering teams responsible for the design, development, testing, deployment, support, and lifecycle management of MGIC applications and digital products.

Skills

IT Cloud Engineer, Engineering Platform Automation

Mayo Clinic · Posted Nov 6, 2026

Open

Rochester, Minnesota, United States
Full-time · Mid
3+ years

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The IT Cloud Engineer – Engineering Platform Automation is responsible for designing, developing, operating, and continuously evolving Mayo Clinic's Engineering Front Door—a cloud-native digital platform that enables engineering self-service, cloud governance automation, AI-assisted guidance, reusable knowledge management, and workflow orchestration across the Hybrid Multi-Cloud ecosystem.

Responsibilities

Serve as the technical product owner for the Engineering Front Door platform.
Define and continuously improve the platform roadmap in partnership with the CCoE and Platform Engineering teams.
Design reusable platform capabilities that improve engineering productivity and customer experience.
Maintain platform reliability, performance, and operational excellence.
Design, develop, and support automated workflows for cloud engineering, governance, and platform engineering processes.

Requirements

Bachelor’s degree
Associate’s degree
GED
Nice to have: Microsoft Azure
Nice to have: Google Cloud Platform (GCP)

Skills

Cloud-native platforms Cloud governance ServiceNow Workflow orchestration

Lead AI Platform Engineer

Mastercard · Posted Oct 28, 2026

Open

New York City, New York, United States +6 more
$140K–$277K per year

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Lead AI Platform Engineer

Locations (7)

New York City, New York, United States
Arlington, Virginia, United States
Atlanta, Georgia, United States
Austin, Texas, United States
Boston, Massachusetts, United States

Vice President, Data Science

Clarivate · Posted Nov 5, 2026

Open

Alexandria, Virginia, United States
Full-time · Vp
$240K–$300K per year
15+ years

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Shape the future of AI in Intellectual Property by setting the vision for the Data Science & AI organization and turning advances in machine learning, Generative AI, and Agentic AI into scalable products, smarter operations, and measurable business value.

Compensation

The expected base salary for this position is $240,000–$300,000 USD per year. This role is eligible for bonus earnings. Individual pay is based upon experience, education, skill and ability, expertise, and relevant factors.

Responsibilities

Define and execute the enterprise data science and AI vision, aligning investment and delivery with business strategy, product innovation, and long-term growth.
Differentiate our products, operations, and customer experiences through AI.
Create a multi-year roadmap for machine learning, Generative AI, Agentic AI, and advanced analytics adoption.
Lead the strategy, architecture, and implementation of Generative AI and Agentic AI solutions across the business.
Build scalable AI agents, copilots, assistants, reasoning systems, and workflow automation capabilities.

Requirements

Bachelor’s degree in Computer Science
Bachelor’s degree in Data Science
Bachelor’s degree in AI
Bachelor’s degree in Statistics
Bachelor’s degree in Mathematics

Skills

Artificial Intelligence Machine Learning

Security Specialist

ICONMA, LLC · Posted Nov 5, 2026

Open

Toronto, Ontario, Canada +2 more
Hybrid
10+ years

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Provide security consulting and governance oversight for technology initiatives in a banking environment.

Locations (3)

Toronto, Ontario, Canada
Scarborough, Ontario, Canada
Mississauga, Ontario, Canada

Responsibilities

Provide security consulting and risk assessments for technology initiatives and projects
Review solution designs and provide risk-based security recommendations aligned with enterprise security standards
Develop and maintain security standards, technical requirements, STIGs, control mappings, and implementation guidance
Support governance and security reviews for cloud, hybrid, on-premises, containerized, B2B, and emerging technology environments
Assess and provide guidance on security controls for Kubernetes, cloud-native platforms, APIs, SaaS solutions, AI-enabled technologies, and partner connectivity solutions

Vice President, Data Science

Clarivate · Posted Nov 5, 2026

Open

Alexandria, Virginia, United States
Hybrid
Full-time · Executive
$240K–$300K per year
15+ years

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Set the vision for the Data Science & AI organization and turn advances in machine learning, Generative AI, and Agentic AI into scalable products, smarter operations, and measurable business value.

Compensation

The expected base salary for this position is $240,000–$300,000 USD per year. This role is eligible for bonus earnings.

Responsibilities

Set the vision for the Data Science & AI organization
Turn advances in machine learning, Generative AI, and Agentic AI into scalable products, smarter operations, and measurable business value
Guide a global, multidisciplinary organization from AI strategy to production-grade solutions
Lead enterprise-scale AI teams and bring AI solutions into production
Define what comes next for the IP business

Requirements

Bachelor’s or master’s degree in Computer Science
Data Science
AI
Statistics
Mathematics

Skills

Data Science AI Machine Learning Advanced Analytics Generative AI

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